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You Don’t Need to Train a Model: How Intelligent Systems Are Built with Data, Code and AI

Infografia tècnica sobre l’arquitectura d’un sistema amb IA. Mostra el flux des de diverses fonts de dades fins a la captura mitjançant scrapers, la normalització, l’aplicació de regles i scoring, l’ús de models d’intel·ligència artificial i la visualització de resultats. A la part inferior s’hi representen aplicacions en música, ocupació, recerca, borsa, esports i immobiliària.

Many useful AI systems do not require a custom-trained model. They combine data, code, scrapers, rules, scoring, automation and general-purpose AI models within a well-designed architecture.

  • Glòria Aladesa
  • 16/09/2026
  • Books, Knowledge Engineering

Foundations of Semantic Web Technologies

Minimalist illustration of a book combined with a neural network diagram, symbolising the foundations of Semantic Web Technologies, in DeGalaLab corporate colours (fuchsia, blue, grey) on a white background.

The book explains the formal and practical foundations of the Semantic Web, that is, how to represent and manage knowledge on the web in a way that machines can understand and reason with.

  • Gloc
  • 22/08/2025
  • Articles, Knowledge Engineering

Generative Grammar and the Faculty of Language: Discoveries, Questions, and Challenges

Chomsky et al. examine the foundations of generative grammar and the human language faculty. The article highlights core properties such as discrete infinity and displacement, explores operations like MERGE and AGREE, and analyses cognitive interfaces. Despite progress, unresolved questions remain, opening new directions for future linguistic research.

  • Gloc
  • 28/02/2025

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